Delete app1.py

app1.py

@@ -1,63 +0,0 @@
-# app.py
-
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
-
-# Only the official Google FLAN-T5 models
-MODEL_OPTIONS = {
-    "FLAN-T5-small (Google)": "google/flan-t5-small",
-    "FLAN-T5-base (Google)": "google/flan-t5-base"
-}
-
-# Cache loaded pipelines
-loaded_pipelines = {}
-
-def get_pipeline(model_id: str):
-    if model_id not in loaded_pipelines:
-        tokenizer = AutoTokenizer.from_pretrained(model_id)
-        model = AutoModelForSeq2SeqLM.from_pretrained(
-            model_id,
-            low_cpu_mem_usage=True,   # CPU optimization
-            torch_dtype="auto"
-        )
-        pipe = pipeline("text2text-generation",
-                        model=model,
-                        tokenizer=tokenizer,
-                        device=-1)
-        # Warm-up to avoid first-call lag
-        _ = pipe("Correct the grammar: test", max_new_tokens=8, do_sample=False)
-        loaded_pipelines[model_id] = pipe
-    return loaded_pipelines[model_id]
-
-def oxford_polish(sentence: str, model_choice: str) -> str:
-    model_id = MODEL_OPTIONS[model_choice]
-    polisher = get_pipeline(model_id)
-
-    # Minimal prompt for FLAN-T5
-    prompt = f"You are an English grammar corrector and teacher. Return the corrected version: {sentence}"
-    out = polisher(prompt,
-                   max_new_tokens=60,
-                   do_sample=False,
-                   num_beams=2)
-    text = out[0]["generated_text"].strip()
-
-    # Strip accidental echo
-    if text.startswith(prompt):
-        text = text[len(prompt):].strip()
-    return text
-
-# Gradio interface
-demo = gr.Interface(
-    fn=oxford_polish,
-    inputs=[
-        gr.Textbox(lines=2, placeholder="Enter a sentence to correct..."),
-        gr.Dropdown(choices=list(MODEL_OPTIONS.keys()),
-                    value="FLAN-T5-base (Google)",
-                    label="Choose Model")
-    ],
-    outputs=gr.Textbox(label="Oxford-grammar Correction"),
-    title="Oxford Grammar Polisher",
-    description="Compare Google’s official FLAN-T5 small and base models for grammar correction."
-)
-
-demo.launch()